Project supported by the Key Program of the National Natural Science Foundation of China(No.11131006);the National Natural Science Foundation of China(Nos.61075054,90818020,60873206)
Some mathematical models in geophysics and graphic processing need to compute integrals with scattered data on the sphere.Thus cubature formula plays an important role in computing these spherical integrals.This paper...
supported by the National Natural Science Foundation of China (90818020,60873206);the Foundation of Innovation Team of Science and Technology of Zhejiang Province of China (2009R50024)
Bernstein inequality played an important role in approximation theory and Fourier analysis. This article first introduces a general system of functions and the socalled multivariate weighted Bernstein, Nikol'skii, an...
supported by National Basic Research Program of China (Grant No. 2007CB311002);National Natural Science Foundation of China (Grant Nos. 90818020, 60873206)
In many applications, the pre-information on regression function is always unknown. Therefore, it is necessary to learn regression function by means of some valid tools. In this paper we investigate the regression pro...
Supported by National Natural Science Foundation of China (Grant No. 60873206) and Natural Science Foun- dation of Zhejiang Province of China (Grant No. Y7080235)
The first goal of this paper is to establish some properties of the ridge function representation for multivariate polynomials, and the second one is to apply these results to the problem of approximation by neural ne...
supported by the National 973 Project (Grant No. 2007CB311002);National Natural Science Foundation of China (Grant Nos. 90818020,60873206)
In this paper, we investigate the radial function manifolds generated by a linear combination of radial functions. Let Wp^r(B^d) be the usual Sobolev class of functions on the unit ball 54. We study the deviation fr...
Supported by the National Natural Science Foundation of China (Grant No. 60873206);the National Basic Research Program of China(Grant No. 2007CB311002)
Let SFd and ∏φ,n,d ={∑j^n=1bjφ(wj.x+θj):bj,θj∈R,wj∈R^d} be the set of periodic and Lebesgue's square-integrable functions and the set of feedforward neural network (FNN) functions, respectively. Denote ...